Nick Dang

2.8k citations
8 papers · 2.0k · 1 hit paper · h-index 6

Impact in

Papers in

Nick Dang

8 papers receiving 2.0k citations

Nick Dang's Hit Papers

Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients 2005 · 1.1k citations
1.1k0+7+14Years since publication2505007501000

Peers

Nick Dang
Comparison fields: 5 of 100
  • Aging 1.2k
  • Geriatrics and Gerontology 256
  • Endocrine and Autonomic Systems 241
  • Physiology 480
  • Molecular Biology 1.2k
Replace Mitsuhiro Tsuchiya with:
Mitsuhiro Tsuchiya United States
Kui Lin China
C. Daniel De Magalhaes Filho United States
Brian M. Wasko United States
Christian G. Riedel Sweden
Wei‐Chung Chiang United States
Amrita M. Nargund United States
Ara B. Hwang South Korea
Christopher R. Burtner United States
Peichuan Zhang United States
Nick Dang relative to Mitsuhiro Tsuchiya United States Mitsuhiro Tsuchiya's profile →
Citations per field
00.5×1.5×
Mitsuhiro Tsuchiya · 1×
Citations per year

Countries citing papers authored by Nick Dang

Since Specialization
Citations

This map shows the geographic impact of Nick Dang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nick Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Dang more than expected).

Fields of papers citing papers by Nick Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick Dang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nick Dang. The network helps show where Nick Dang may publish in the future.

Co-authors

The 20 scholars most cited alongside Nick Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nick Dang Line = papers co-authored together Nick Dang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients
Hit paper breakdown →
20051080
2 2008383
3 2015189
4 2005158
5 1999114
6 2006100
7 20053
8 20062

About Nick Dang

Nick Dang is a scholar working on Aging, Geriatrics and Gerontology, Otorhinolaryngology, Physiology and Molecular Biology, having authored 8 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Mitochondrial Function and Pathology (2 papers), Adipose Tissue and Metabolism (2 papers), RNA modifications and cancer (1 paper), RNA Research and Splicing (1 paper), Head and Neck Cancer Studies (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Aging (1.2k citations), Geriatrics and Gerontology (256 citations), Endocrine and Autonomic Systems (241 citations), Physiology (480 citations) and Molecular Biology (1.2k citations). Nick Dang has collaborated with scholars based in United States. Frequent co-authors include Matt R. Kaeberlein, Di Hu, Emily O. Kerr, Brian Keith Kennedy, Stanley Fields, Kristan K. Steffen, Ryan Powers, Mitsuhiro Tsuchiya, Vivian L. MacKay and Valerie W. Rusch. Their work appears in journals such as PLoS Genetics, Cell Metabolism, Science, Annals of Surgical Oncology and Aging Cell.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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